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. Author manuscript; available in PMC: 2018 Aug 1.
Published in final edited form as: J Abnorm Psychol. 2017 May 25;126(6):812–822. doi: 10.1037/abn0000280

Table 5.

Results of biometric model fitting of AUD and MDD at T1 and T2.

# Model ep AIC sBIC Δ−2LL Δdf p
Step 1
1 Qualitative sex differences, ACE 86 −7073.16 13455.27 - - -
2 Qualitative sex differences, AE 66 −7084.35 13390.59 16.814 14 .266
3 Quantitative sex differences, ACE 76 −7092.32 13415.36 0.844 10 1.000
4 Quantitative sex differences, AE 56 −7092.91 13361.28 28.25 24 .250
5 Quantitative sex differences, CE 56 −7083.62 13370.57 37.54 24 .039
6 No sex differences, ACE 46 −7080.27 13321.17 28.89 18 .050
7 No sex differences, AE 36 7098.88 13281.81 30.28 28 .350
8 No sex differences, CE 36 −7077.79 13302.90 51.36 28 .005
Step 2
9 No A from MDD to AUD (a41=0) 35 −7100.63 13277.99 0.26 1 .611
10 No E from MDD to AUD (e41=0) 35 −7100.88 13277.73 0.00 1 .975
11 No A or E from MDD to AUD 34 −7102.49 13274.05 0.39 2 .822
12 No A from AUD to MDD (a32=0) 35 −7098.13 13280.49 2.76 1 .097
13 No E from AUD to MDD (e32=0) 35 −7100.47 13278.14 0.41 1 .521
14 No A or E from AUD to MDD 34 −7100.06 13276.48 2.82 2 .244
15 No prospective AE across disorders* 32 7103.26 13269.13 3.63 4 .459
Step 3
16 No new A in AUD (a44=0, ra43=0) 30 −7096.18 13272.07 11.08 2 .003
17 No new A in MDD (a33=0, ra43=0)** 30 7107.01 13261.23 0.24 2 .885
Step 4
18 No genetic correlation at T1 (ra21=0) 29 −7084.22 13281.95 24.79 1 <.001
19 No environmental correlation at T1 (re21=0) 29 −7108.81 13257.35 0.20 1 .656
20 No new environmental correlation (re43=0) 29 −7102.46 13263.71 6.56 1 .010
21 No environmental stability in MDD (e31=0) 29 −7108.75 13257.42 0.26 1 .608
22 No environmental stability in AUD (e42=0) 29 −7100.81 13265.35 8.20 1 .004
23 Stable environmental correlation (re21=re43) 29 −7105.54 13260.63 3.48 1 .062
24 re21=0 and e31=0** 28 7110.42 13253.67 0.59 2 .744

Notes: ep = estimated parameters;

*

best fitting model in step;

**

overall best fitting model.

Models are compared to the best fitting model in the previous step.